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Aerodynamic Parameterization of the Satellite-Based Energy Balance (METRIC) Model for ET Estimation in Rainfed Olive Orchards of Andalusia, Spain

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  • C. Santos
  • I. Lorite
  • R. Allen
  • M. Tasumi

Abstract

Sensitivity of estimates of evapotranspiration (ET) for olive fields located in Andalusia (Spain) to aerodynamic parameterization in METRIC (Mapping EvapoTranspiration with high Resolution and Internalized Calibration) was evaluated to better understand behavior of the model and spatial and temporal distribution of ET from olives, with the ultimate aim of designing customized irrigation schedules. Previous METRIC analyses have primarily focused on the estimation of ET over fields of annual crops, with few applications to complex canopies such as olive. The model was compared against FAO 56-soil water balance-based ET estimations for non-irrigated olive fields. In the first comparisons METRIC model used a general equation for momentum roughness length (z om ) based on a fixed function of height estimated from LAI (Leaf Area Index) that underestimated the olives height and therefore z om , so that ET derived as a residual of the energy balance was overestimated (RMSE = 1.12 mm/day) compared to the soil water balance derived ET. The Perrier roughness function based on LAI and tree canopy architecture for sparse trees, coupled with improved olive height estimates (employing tree density and canopy shape factors) improved estimates for z om . This approach produced closer comparisons to rainfall-constrained ET estimates based on soil water balance for rainfed olive orchards (RMSE = 0.25 mm/day). This study does not attempt to validate METRIC results; instead utilizes a comparative approach between two independent methodologies to improve olive ET estimation via remote sensing, with the strong advantage, over the soil water balance approach, of improved spatial resolution over large areas. Copyright Springer Science+Business Media B.V. 2012

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  • C. Santos & I. Lorite & R. Allen & M. Tasumi, 2012. "Aerodynamic Parameterization of the Satellite-Based Energy Balance (METRIC) Model for ET Estimation in Rainfed Olive Orchards of Andalusia, Spain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(11), pages 3267-3283, September.
  • Handle: RePEc:spr:waterr:v:26:y:2012:i:11:p:3267-3283
    DOI: 10.1007/s11269-012-0071-8
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    4. Giorgos Papadavid & Diofantos Hadjimitsis & Leonidas Toulios & Silas Michaelides, 2013. "A Modified SEBAL Modeling Approach for Estimating Crop Evapotranspiration in Semi-arid Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(9), pages 3493-3506, July.
    5. Ortega-Salazar, Samuel & Ortega-Farías, Samuel & Kilic, Ayse & Allen, Richard, 2021. "Performance of the METRIC model for mapping energy balance components and actual evapotranspiration over a superintensive drip-irrigated olive orchard," Agricultural Water Management, Elsevier, vol. 251(C).
    6. Jinjiao Lian & Mingbin Huang, 2015. "Evapotranspiration Estimation for an Oasis Area in the Heihe River Basin Using Landsat-8 Images and the METRIC Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5157-5170, November.
    7. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Wang, T. & López-Urrea, R. & Cancela, J.J. & Allen, R.G., 2020. "Prediction of crop coefficients from fraction of ground cover and height. Background and validation using ground and remote sensing data," Agricultural Water Management, Elsevier, vol. 241(C).
    8. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Mota, M. & Wang, T., 2021. "Prediction of crop coefficients from fraction of ground cover and height: Practical application to vegetable, field and fruit crops with focus on parameterization," Agricultural Water Management, Elsevier, vol. 252(C).
    9. Pôças, I. & Calera, A. & Campos, I. & Cunha, M., 2020. "Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches," Agricultural Water Management, Elsevier, vol. 233(C).
    10. Lorite, I.J. & Gabaldón-Leal, C. & Ruiz-Ramos, M. & Belaj, A. & de la Rosa, R. & León, L. & Santos, C., 2018. "Evaluation of olive response and adaptation strategies to climate change under semi-arid conditions," Agricultural Water Management, Elsevier, vol. 204(C), pages 247-261.

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